Ten issues of NetGPT
Not on the map. Why?
Abstract (arXiv)
With the rapid development and application of foundation models (FMs), it is foreseeable that FMs will play an important role in future wireless communications. As current Artificial Intelligence (AI) algorithms applied in wireless networks are dedicated models that aim for different neural network architectures and objectives, drawbacks in aspects of generality, performance gain, management, collaboration, etc. need to be conquered. In this paper, we define NetGPT (Network Generative Pre-trained Transformer) -- the foundation models for wireless communications, and summarize ten issues regarding design and application of NetGPT.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 22 Nov 2023.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 2; 2025: 1.
3 papers.
- 2024An overview of domain-specific foundation model: key technologies, applications and challengescited by 19
- 2024Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Trainingcited by 6
- 2025Text2Net: Transforming Plain-text To A Dynamic Interactive Network Simulation Environmentcited by 0
- 2025Text2Net: Transforming Plain-text To A Dynamic Interactive Network Simulation Environment10 Feb 2025
- 2024An overview of domain-specific foundation model: key technologies, applications and challenges6 Sep 2024
- 2024Csi-LLM: A Novel Downlink Channel Prediction Method Aligned with LLM Pre-Training15 Aug 2024